I can get this summary of a model that I am running:
summary(myprobit)
Call:
glm(formula = Response_Slot ~ trial_no, family = binomial(link = "probit"),
data = neg_data, na.action = na.pass)
Deviance Residuals:
Min 1Q Median 3Q Max
-0.9528 -0.8934 -0.8418 1.4420 1.6026
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -0.340528 0.371201 -0.917 0.359
trial_no -0.005032 0.012809 -0.393 0.694
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 62.687 on 49 degrees of freedom
Residual deviance: 62.530 on 48 degrees of freedom
AIC: 66.53
Number of Fisher Scoring iterations: 4
But I would like to get the p-value [column heading Pr(>|z|)] for the
esimate.
I can get the coefficient estimates with myprobit$coefficients. Is there
something similar to get the p-value?
Thank you in advance.
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